Instructions to use GS-23/plbart-algo2code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GS-23/plbart-algo2code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GS-23/plbart-algo2code") model = AutoModelForSeq2SeqLM.from_pretrained("GS-23/plbart-algo2code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from GS-23/plbart-algo2code: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/GS-23/plbart-algo2code/resolve/main/model.safetensors
- Command line
-
hf download hf://GS-23/plbart-algo2code/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GS-23/plbart-algo2code/resolve/main/model.safetensors
557 MB
- Xet hash:
- 500a40c128f67d00fa5f0fd6ee5cbe5305c9348719a5f4a0ae7107d7b3c0a78f
- Size of remote file:
- 557 MB
- SHA256:
- 73b7e131e61773dd67058d7ba1c1175021d05b8e227767e8c13d074c5f04fc0f
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